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SUMMARY:GSI2019
DTSTAMP:20190223T134053Z
DTSTART;VALUE=DATE:20190827
DTEND;VALUE=DATE:20190830
URL;VALUE=URI:Page de l'événement
LOCATION:ENAC\, Toulouse (France)
DESCRIPTION:*Registration will be opened the 15th of September* -->*Registration will be \n
opened the 15th of September* --> *GSI’19 SUBMISSION DEADLINE POSTPONED \n
UNTIL 11th March*\n
As for GSI’13\, GSI’15 and GSI’17\, the objective of this SEE GSI’19 \n
conference\, hosted in Toulouse at ENAC\, is to bring together pure/applied \n
mathematicians and engineers\, with common interest for Geometric tools and \n
their applications for Information analysis.\n
\n
It emphasizes an active participation of young researchers to discuss \n
emerging areas of collaborative research on “Geometric Science of \n
Information and their Applications”.\n
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Current and ongoing uses of Information Geometry Manifolds in applied \n
mathematics are the following: Advanced Signal/Image/Video Processing\, \n
Complex Data Modeling and Analysis\, Information Ranking and Retrieval\, \n
Coding\, Cognitive Systems\, Optimal Control\, Statistics on Manifolds\, \n
Topology/Machine/Deep Learning\, Artificial Intelligence\, Speech/sound \n
recognition\, natural language treatment\, Big Data Analytics\, Learning for \n
Robotics\, etc.\, which are substantially relevant for industry.\n
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The Conference will be therefore held in areas of topics of mutual interest \n
with the aim to:\n
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* Provide an overview on the most recent state-of-the-art\n
\n
* Exchange mathematical information/knowledge/expertise in the area\n
\n
* Identify research areas/applications for future collaboration\n
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This conference will be an interdisciplinary event and will unify skills from \n
Geometry\, Probability and Information Theory. \n
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*GSI’19 will be the opening event of CIMI labex trimester on « Statistics \n
with Geometry and \n
Topology » : *https://perso.math.univ-toulouse.fr/statistics-geometry-and-topology/ \n
[1]\n
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Proceedings are published in Springer's Lecture Note in Computer Science \n
(LNCS) series. SPRINGER will sponsor Best paper Award GSI’19.\n
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Gala Diner will take place at Hôtel-Dieu Saint-Jacques in Salle Des \n
Colonnes.\n
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-------- PROVISIONAL TOPICS OF INTERESTS: ------------------------------------\n
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* Probability on Riemannian Manifolds \n
* Optimization on Manifold \n
* Shape Space \n
* Statistics on non-linear data \n
* Lie Group Machine Learning\n
* Harmonic Analysis on Lie Groups\n
* Statistical Manifold & Hessian Information Geometry \n
* Monotone Embedding in Information Geometry \n
* Non-parametric Information Geometry \n
* Computational Information Geometry \n
* Divergence Geometry \n
* Optimal Transport \n
* Geometric Deep Learning\n
* Geometry of Hamiltonian Monte Carlo\n
* Information Topology\n
* Geometric & (Poly)Symplectic Integrators\n
* Geometric structures in thermodynamics and statistical physics\n
* Contact Geometry & Hamiltonian Control \n
* Geometric and structure preserving discretizations \n
* Geometry of Quantum States\n
* Geodesic Methods with Constraints \n
* Probability Density Estimation & Sampling in High Dimension\n
* Geometry of Graphs and Networks\n
* Distance Geometry \n
* Geometry of Tensor-Valued Data \n
* Geometric Mechanics\n
* Geometric Robotics & Learning\n
* Geometry in Neuroscience & Cognitive Sciences \n
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A special session will deal with:\n
* Geometric Science of Information Libraries (geomstats\, pyRiemann \, …)\n
\n
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-------- IMPORTANT DATES -----------------------------------------------------\n
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* Deadline for 8 pages SPRINGER LNCS format: *18th of February 2019** 11th\n
of March 2019*\n
* Notification of acceptance: 22nd of April 2019\n
* Final paper submission: 15th of June 2019\n
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-------- PROVISIONAL PROGRAM OF INVITED SPEAKERS: ----------------------------\n
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*History Session*: J.P. Hiriart-Urruty on “Pierre de Fermat and Blaise \n
Pascal: Geometry & Chance”\, F. Barbaresco & M. Boyom on “Tribute to \n
Jean-Louis Koszul”\, *Keynote speakers*: A. Chenciner on “n-body relative \n
equilibria in higher dimensions”\, E. Celledoni on “Structure preserving \n
algorithms for geometric numerical integration”\, G. Peyré on “Optimal \n
Transport for Machine Learning”\, K. Friston on “Markov blankets and \n
Bayesian mechanics”. *******************************\n
Page de l'événement [2]\n
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[1] https://perso.math.univ-toulouse.fr/statistics-geometry-and-topology/\n
[2] https://www.see.asso.fr/manifestation/23433_gsi2019
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